Code WikiTranslation site

What is Code Wiki?

Code Wiki is Google's AI-poweredcode documentationGitLab is a tool designed to simplify code understanding and collaboration. It automatically scans GitHub, GitLab and other code repositories, generates interactive documents containing module structure, call relationship diagrams, inheritance relationships, etc. in 3 seconds, and synchronizes code changes in real time, bidding farewell to outdated documents.

After integrating the Gemini model, it supports natural language Q&A, so developers can directly ask questions such as “how to call the payment module”, and the AI will combine with the codebase to accurately answer and jump to the relevant files, just like a conversation with a senior architect. In addition, it also provides visual analysis tools, such as data flow diagrams and dependency diagrams, to help locate performance bottlenecks.

Teams can share knowledge through documents, new employees can get started on unfamiliar projects in 10 minutes, and product managers can quickly grasp the details of technical implementation. The public repository is completely free, and the private repository can be used by adding a token, which is ideal for improving development efficiency and reducing communication costs.

Code Wiki's main features

1. automaticDocument Generation
   • Structured content: Automatically generate documents containing system overviews, module descriptions, call relationship diagrams, inheritance relationship diagrams, etc., supporting fragment-level and cross-file-level explanations.
   • real time update: Regenerate documentation after each code change to ensure synchronization with the code and avoid obsolescence issues.
   • Multi-format supportExport to Word, PDF, Markdown and other formats for easy sharing and archiving.
2. Gemini Intelligent Assistant Integration
   • interactive Q&AThe AI provides accurate answers based on the entire code base.
   • context-sensitive: Understand code base structure and logic, support jumping to related code files and definitions to assist in problem localization.
3. Deep Code Exploration
   • visual analysis: Generate data logic diagrams, module dependency diagrams, etc. to help developers quickly grasp the code architecture.
   • Cross-file associations: Explain code interactions across files to reveal hidden logic chains.
4. Teamwork support
   • knowledge sharing: Serve as an internal team knowledge base for QA engineers, architects, product managers, and other roles to quickly access code information.
   • New Employee Training: Provides a comprehensive overview of the code base to speed up newcomers' getting started.
   • Technical debt management: Reduce technical debt due to missing or outdated documentation through continuously updated documentation.
5. Personalized analytics (Google ecosystem integration required)
   • Combining personal data: Integrates with Google NotebookLM to provide customized interpretations (e.g., analyzing machine learning projects in conjunction with stored papers or discussion logs) in conjunction with a user's Gmail and Drive files and Google Chat records.

Scenarios for using Code Wiki

1. Quickly understand unfamiliar codebases
   • When a developer takes over a new project or reads open source code, the Code Wiki generates documentation in 10 minutes, allowing them to master the core logic without having to comb through the code manually.
2. Code Maintenance and Optimization
   • Aids in code review to quickly locate problematic modules; identifies potential performance bottlenecks or dependency conflicts through call relationship diagrams.
3. Teamwork and Communication
   • Team members share code knowledge through documents and chat interface to reduce repetitive questions; product managers can directly query the details of feature implementation to improve communication efficiency.
4. Technology Selection and Research
   • When evaluating open source projects, generate documentation and analyze the architecture to quickly determine if it meets the requirements.
5. New Employee Orientation
   • Interactive documentation for newcomers, combined with Gemini's Q&A feature to explore the codebase on your own, reduces dependence on senior developers.

How do I use Code Wiki?

1. Access platforms
   • Official website:https://codewiki.google/
   • Support for public repositories directly generate documents; private repositories need to add access tokens.
2. Generate Documentation
   • Enter the address of your GitHub, GitLab or Bitbucket repository and click the “Generate Wiki” button.
   • The system automatically scans the code and generates interactive documentation, including module lists, call relationship diagrams, etc.
3. Browse & Interact
   • document browsing: Through the sidebar navigation module, click on the link to jump to the relevant code or definition.
   • intelligent question and answer (Q&A): Enter a question in the chat interface (e.g., “How do I call the user authentication module?”). The AI answers the question in conjunction with the codebase and links to the specific document.
   • Video explanation (some functions): Generate explanatory videos for complex modules to aid understanding.
4. Advanced Configuration
   • Select the AI model provider (e.g. Gemini 2.5 Pro), embedding type, and language options.
   • Exclude specific file directories to optimize generation (e.g., ignore test code).

Recommended Reasons

1. efficiency revolution
   • Traditional code reading requires manual combing of logic, time-consuming and error-prone; Code Wiki generates documents in 3 seconds, mastering the essence of the project in 10 minutes, and improving efficiency several times.
2. Intelligent Experience
   • Integration with the Gemini Big Model supports natural language interactions, with precise and contextually relevant answers to questions, similar to “talking to a senior architect”.
3. Teamwork Tools
   • As a unified knowledge base, information silos are reduced; the onboarding cycle for new employees is shortened from weeks to days, making technology transfer more efficient.
4. Continuous Update Guarantee
   • Documentation and code synchronization updates, to avoid the “documentation does not match the actual” pain points, long-term maintenance costs significantly reduced.
5. Free and easy to use
   • The public repository is completely free, with a simple interface and intuitive operation, so you can get started without complex configuration.
6. Ecological Integration Advantage
   • Integration with Google NotebookLM provides personalized analytics in conjunction with individual data to further unlock the value of your code (e.g., optimize design decisions in conjunction with historical discussions).